{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "fa1acd13",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ef13aca",
   "metadata": {},
   "source": [
    "# 第一题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "1fdf0b06",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          ap_name        ap_mac            ssid       account     mac  \\\n",
      "0  0006-f4e3-c6c0  0006f4e3c6c0  smartecardwifi  cc4b7382bddc  cc4b73   \n",
      "1  084f-0a37-30c0  084f0a3730c0            iLZU       hgp2018  ae2887   \n",
      "2  084f-0a37-39a0  084f0a3739a0            iLZU        zmsf18  3e1d00   \n",
      "3       0_no_name  5cc9999a3c80             LZU                8c3401   \n",
      "4       0_no_name  5cc9999a3c80             LZU                8a37b7   \n",
      "\n",
      "              linktime  \n",
      "0  2021-04-01 14:00:00  \n",
      "1  2021-04-01 14:00:00  \n",
      "2  2021-04-01 14:00:00  \n",
      "3  2021-04-01 14:00:00  \n",
      "4  2021-04-01 14:00:00  \n",
      "              ap_name        ap_mac            ssid       account     mac  \\\n",
      "0      0006-f4e3-c6c0  0006f4e3c6c0  smartecardwifi  cc4b7382bddc  cc4b73   \n",
      "1      084f-0a37-30c0  084f0a3730c0            iLZU       hgp2018  ae2887   \n",
      "2      084f-0a37-39a0  084f0a3739a0            iLZU        zmsf18  3e1d00   \n",
      "3           0_no_name  5cc9999a3c80             LZU                8c3401   \n",
      "4           0_no_name  5cc9999a3c80             LZU                8a37b7   \n",
      "...               ...           ...             ...           ...     ...   \n",
      "19995   YZ-stu-17-104  ac751db804a0            iLZU  4c63710bb141  4c6371   \n",
      "19996   YZ-stu-17-105  ac751db81740            iLZU  2a2bbb35502c  2a2bbd   \n",
      "19997   YZ-stu-17-106  ac751db80220            iLZU  dcd5cc10ca39  fef5cc   \n",
      "19998   YZ-stu-17-106  ac751db80220            iLZU  10b1d8319023  10b1f8   \n",
      "19999   YZ-stu-17-107  ac751db81320            iLZU  8c85900b2ab2  8c8590   \n",
      "\n",
      "       linktime  \n",
      "0      14:00:00  \n",
      "1      14:00:00  \n",
      "2      14:00:00  \n",
      "3      14:00:00  \n",
      "4      14:00:00  \n",
      "...         ...  \n",
      "19995  14:00:00  \n",
      "19996  14:00:00  \n",
      "19997  14:00:00  \n",
      "19998  14:00:00  \n",
      "19999  14:00:00  \n",
      "\n",
      "[20000 rows x 6 columns]\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_json('lzuwifi.json',lines='true')\n",
    "print(df.head(5))\n",
    "df['linktime'] = pd.to_datetime(df['linktime'])\n",
    "df['linktime'] = df['linktime'].dt.time\n",
    "print(df.head(20000))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16e5ccff",
   "metadata": {},
   "source": [
    "# 第二题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "32748ad5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              ap_name        ap_mac            ssid       account     mac  \\\n",
      "0      0006-f4e3-c6c0  0006f4e3c6c0  smartecardwifi  cc4b7382bddc  cc4b73   \n",
      "1      084f-0a37-30c0  084f0a3730c0            iLZU       hgp2018  ae2887   \n",
      "2      084f-0a37-39a0  084f0a3739a0            iLZU        zmsf18  3e1d00   \n",
      "3           0_no_name  5cc9999a3c80             LZU                8c3401   \n",
      "4           0_no_name  5cc9999a3c80             LZU                8a37b7   \n",
      "...               ...           ...             ...           ...     ...   \n",
      "30215             游泳馆  60da838bcc10             LZU                f89a78   \n",
      "30216             游泳馆  60da838bcc10             LZU                54b121   \n",
      "30217             游泳馆  60da838bcc10   ChinaNet-WiFi                f42981   \n",
      "30218             游泳馆  60da838bc970             LZU                408c1f   \n",
      "30219             游泳馆  60da838bb980             LZU                5001d9   \n",
      "\n",
      "                  linktime  \n",
      "0      2021-04-01 14:00:00  \n",
      "1      2021-04-01 14:00:00  \n",
      "2      2021-04-01 14:00:00  \n",
      "3      2021-04-01 14:00:00  \n",
      "4      2021-04-01 14:00:00  \n",
      "...                    ...  \n",
      "30215  2021-04-01 14:00:00  \n",
      "30216  2021-04-01 09:40:00  \n",
      "30217  2021-04-01 14:00:00  \n",
      "30218  2021-04-01 10:00:00  \n",
      "30219  2021-04-01 14:00:00  \n",
      "\n",
      "[30220 rows x 6 columns]\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_json('lzuwifi.json',lines='true')\n",
    "df['ap_name'] = df['ap_name'].apply(lambda x: '贺兰堂' if 'hlt' in x else x)\n",
    "df['ap_name'] = df['ap_name'].apply(lambda x: '天山堂' if 'tst' in x else x)\n",
    "df['ap_name'] = df['ap_name'].apply(lambda x: '昆仑堂' if 'klt' in x else x)\n",
    "df['ap_name'] = df['ap_name'].apply(lambda x: '游泳馆' if 'youyongguan' in x else x)\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aefd95d0",
   "metadata": {},
   "source": [
    "# 第三题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "7b9b542e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "游泳馆中有 7 个不同的在线终端.\n",
      "天山堂中有 1101 个不同的在线终端.\n",
      "贺兰堂中有 63 个不同的在线终端.\n",
      "昆仑堂中有 711 个不同的在线终端.\n"
     ]
    }
   ],
   "source": [
    "counts1 = df[df['ap_name'] == '游泳馆']\n",
    "num_1 = counts1.shape[0]\n",
    "counts2 = df[df['ap_name'] == '天山堂']\n",
    "num_2 = counts2.shape[0]\n",
    "counts3 = df[df['ap_name'] == '贺兰堂']\n",
    "num_3 = counts3.shape[0]\n",
    "counts4 = df[df['ap_name'] == '昆仑堂']\n",
    "num_4 = counts4.shape[0]\n",
    "print('游泳馆中有 {} 个不同的在线终端.'.format(num_1))\n",
    "print('天山堂中有 {} 个不同的在线终端.'.format(num_2))\n",
    "print('贺兰堂中有 {} 个不同的在线终端.'.format(num_3))\n",
    "print('昆仑堂中有 {} 个不同的在线终端.'.format(num_4))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55307d6e",
   "metadata": {},
   "source": [
    "# 第四题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "08ccf84d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty DataFrame\n",
      "Columns: [ap_name, ap_mac, ssid, account, mac, linktime]\n",
      "Index: []\n",
      "        0\n",
      "0        \n",
      "c302  127\n",
      "c301   80\n",
      "b602   76\n",
      "b402   51\n",
      "a101   45\n",
      "...   ...\n",
      "b205    1\n",
      "a605    1\n",
      "b302    1\n",
      "a625    1\n",
      "a616    1\n",
      "\n",
      "[102 rows x 1 columns]\n"
     ]
    }
   ],
   "source": [
    "matplotlib.rcParams['font.sans-serif'] = ['SimHei']\n",
    "matplotlib.rcParams['font.family']='sans-serif'\n",
    "matplotlib.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "df = pd.read_json('lzuwifi.json',lines='true')\n",
    "tianshan1_df = df[df['ap_name'].str.contains('tst_f1')]\n",
    "print(tianshan1_df)\n",
    "# df1 = ap_name_extracted.to_frame() #.reset_index(drop=False)  \n",
    "\n",
    "print(df1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "8387c8b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['font.sans-serif'] = ['SimHei']\n",
    "matplotlib.rcParams['font.family']='sans-serif'\n",
    "matplotlib.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "df = pd.read_json('lzuwifi.json',lines='true')\n",
    "df_tst = df[df['ap_name'].str.contains('tst')].copy()\n",
    "df_tst['ap_name'] = df_tst['ap_name'].str.extract(r'([abc]\\d{3})')\n",
    "counts = df_tst['ap_name'].value_counts()\n",
    "counts_df = counts.reset_index()\n",
    "counts_df.columns = ['ap_name', 'count']\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax =plt.subplots(1,1)\n",
    "\n",
    "ax.axis('off')\n",
    "table = ax.table(cellText=counts_df.values, colLabels=counts_df.columns, cellLoc = 'center', loc ='center')\n",
    "\n",
    "table.auto_set_font_size(False)\n",
    "table.set_fontsize(10)\n",
    "\n",
    "table.scale(1, 1.5)\n",
    "\n",
    "plt.savefig(\"table.png\")\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5dd10132",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
